AI / Data Engineer

We’re partnering with multiple organizations in the KC metro area looking to bring on AI / Data Engineers to support growing data and analytics initiatives. These roles sit at the intersection of data engineering, cloud platforms, and emerging AI capabilities, helping teams build scalable data pipelines and enable advanced analytics and machine learning.This is an opportunity to work with modern tech stacks, move away from legacy tools, and have a direct impact on how data is leveraged across the business.What You’ll DoDesign, build, and maintain scalable data pipelines and ETL/ELT processesWork with structured and unstructured data across multiple sourcesDevelop and optimize data models for analytics and reportingPartner with analytics, business, and engineering teams to deliver data solutionsSupport AI/ML initiatives by preparing and integrating data for modelsImprove data quality, governance, and performance across platformsContribute to cloud data architecture and best practicesCore Tech StackCloud: Microsoft Azure (Data Factory, Synapse, Databricks, Fabric a plus)Languages: SQL, PythonData Tools: ETL/ELT pipelines, data warehousing, data lakesVisualization: Power BI or similar toolsOther: API integrations, automation, and workflow orchestrationWhat We’re Looking For3+ years of experience in data engineering or related rolesStrong experience with Azure data ecosystem (or comparable cloud platforms)Solid SQL and Python skillsExperience building and optimizing data pipelines and architecturesExposure to AI/ML workflows or interest in working in that spaceStrong communication skills and ability to work cross-functionallyNice to HaveExperience with Databricks or SparkExposure to Microsoft FabricBackground in data governance or data quality initiativesExperience migrating from legacy systems (SSIS, SSRS, etc.)